Artificial Intelligence Engineer

Job Description:

We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs). The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering, RAG pipelines, and memory architectures such as vector databases.

Responsibilities:

• Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts.
  
• Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel.
  
• Develop and fine-tune generative AI models with Transformers, HuggingFace, OpenAI API, etc.
  
• Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone).
  
• Write high-performance Python code to support experimentation, model integration, and API interactions.
  
• Collaborate cross-functionally with product, design, and engineering teams in an agile development environment.
  
• Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance.
  
• Stay updated with the latest advancements in the AI/ML/GenAI space.
  

Required Experience:

• 3 to 8 years of experience in AI/ML, with at least 1 year in Generative AI / LLM-based projects.
  
• Proven expertise in Python programming and related libraries for ML/GenAI.
  
• Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.).
  
• Solid understanding of prompt engineering, RAG, vector DBs, and agent-based systems.
  
• Cloud deployment experience (AWS, Azure, or GCP) is a must.
  
• Strong analytical and problem-solving skills.